scholarly journals Non-redundant Precoding Based Blind Channel Estimation Scheme for OFDM Systems

2012 ◽  
Vol 37 (6A) ◽  
pp. 450-457 ◽  
Author(s):  
Bang-Won Seo
Keyword(s):  
Channel Estimation ◽  
Blind Channel Estimation ◽  
Ofdm Systems ◽  
Blind Channel ◽  
Estimation Scheme

Blind Channel Estimation for SIMO-OFDM Systems without Cyclic Prefix

2010 ◽  
Vol E93-A (1) ◽  
pp. 339-343 ◽  
Author(s):  
Shih-Hao FANG ◽  
Ju-Ya CHEN ◽  
Ming-Der SHIEH ◽  
Jing-Shiun LIN
Keyword(s):  
Channel Estimation ◽  
Cyclic Prefix ◽  
Blind Channel Estimation ◽  
Ofdm Systems ◽  
Blind Channel

scholarly journals Adaptive Blind Channel Estimation for MIMO-OFDM Systems Based on PARAFAC

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Ruo-Nan Yang ◽  
Wei-Tao Zhang ◽  
Shun-Tian Lou
Keyword(s):  
Channel Estimation ◽  
Cost Function ◽  
Orthogonal Frequency Division Multiplexing ◽  
Weighted Least Squares ◽  
Estimation Method ◽  
Blind Channel Estimation ◽  
Ofdm Systems ◽  
Blind Channel ◽  
Mimo Ofdm ◽  
The Cost

In order to track the changing channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, it is prior to estimate channel impulse response adaptively. In this paper, we proposed an adaptive blind channel estimation method based on parallel factor analysis (PARAFAC). We used an exponential window to weight the past observations; thus, the cost function can be constructed via a weighted least squares criterion. The minimization of the cost function is equivalent to the decomposition of third-order tensor which consists of the weighted OFDM data symbols. To reduce the computational load, we adopt a recursive singular value decomposition method for tensor decomposition; then, the channel parameters can be estimated adaptively. Simulation results validate the effectiveness of the proposed algorithm under diverse signalling conditions.

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